Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = -0.2 * weight + 29
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MÜLLER Patrick | 74 |
| 3 | SPENGLER Lukas | 78 |
| 6 | FRANKINY Kilian | 67 |
| 7 | STÜSSI Colin | 68 |
| 9 | BAILLIFARD Valentin | 54 |
| 10 | PAGE Dylan | 64 |
| 14 | BANZER Gordian | 56 |
| 22 | RÜEGG Lukas | 66 |
| 28 | BOHLI Tom | 71 |
| 32 | RÜEGG Timon | 66 |